Video Block Geometric Partitioning Subblock Prediction
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Solution Overview
Problem
Conventional video coding techniques, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/AVC, HEVC, and VVC, suffer from low coding efficiency, which is undesirable for digital video applications.
Innovation Solution
A method for video processing that involves obtaining prediction information for a target subblock based on the types of predicted samples, using a geometric partitioning tool, and performing the conversion accordingly to improve coding effectiveness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding techniques are used, then device complexity is reduced, but coding efficiency deteriorates
Solution Approach 1:
The current video block is divided into multiple subblocks, and prediction information is obtained for each subblock separately based on its specific characteristics. This segmentation allows different prediction strategies to be applied to different regions, improving overall coding efficiency while managing complexity through localized processing.
Solution Approach 2:
Different prediction methods and information are applied to different subblocks within the same video block based on their local characteristics. Each subblock receives tailored prediction information suited to its specific content, rather than applying a uniform prediction approach across the entire block.
2Productivity
If geometric partitioning tool is used with subblock-based prediction, then coding efficiency is improved, but computational complexity increases
Solution Approach 1:
The video block is partitioned into multiple subblocks using geometric partitioning, and prediction is performed separately for each subblock. This segmentation enables more precise local prediction while managing computational complexity by processing smaller, independent regions rather than the entire block at once.
Solution Approach 2:
Prediction information is obtained for only the necessary subblocks based on their specific characteristics, rather than uniformly processing all subblocks with the same level of detail. This selective approach improves coding effectiveness for regions that benefit most while reducing unnecessary computational overhead.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining, during a conversion between a target video block of a video and a bitstream of the video, prediction information of a target subblock in the target video block based on types of predicted samples in the target subblock, the target video block being coded by a geometric partitioning tool; and performing the conversion based on the prediction information of the target subblock.